- The Doctoral Programme in Population Health
- The course is part of the Field-Specific Studies module
- The course is available to students of other degree programmes: yes
- Module level: Doctoral level/EQF level 8
no previous knowledge is required
Essential, novel, cutting-edge and multidisciplinary knowledge and skills on AI, data mining and optimization in medical research.
The basic methods of AI and optimization for model construction and computer simulation. These methods are applied to medical research problems.
The AI methods mainly comprise neural networks, fuzzy systems and probabilistic reasoning as well as novel evolutionary computing methods (genetic and bacterial-memetic algorithms), for optimization. Hence, even complex and nonlinear systems may be studied fluently in a computer environment. The corresponding traditional mathematical and statistical methods are also considered to some extent.
MatlabTM is used in simulations (no previous knowledge on this is required, free for university students and staff).
The essential materials and computer codes are available in a digital form on the course web-site.
pass, fail; participation required
Moodle page (in which the most updated info): https://moodle.helsinki.fi/course/view.php?id=33835
Feedback form: https://elomake.helsinki.fi/lomakkeet/99640/lomake.html
Theory and applications with computer simulations. For passing the course, a course report should be written (7-10 pages) in which a medical application based on the foregoing methods is presented. These application ideas will be considered and discussed with the participants in the course. Both onsite classes and live-streamed for distant participants.